Evidence map›Paper›PMID 36303417›Full record

ArticleMedical science monitor : international medical journal of experimental and clinical research2022

Pelvic Artificial Isolation with Ultrasound-Guided Fluid: A New Technique In Ovarian Endometriotic Cyst Transabdominal Sclerotherapy.

Bin Meng, Mingmin Xu

Open access · hybridAbstract read
In one paragraph

Article in Medical science monitor : international medical journal of experimental and clinical research, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed, 1 pooled it
0.6field-weighted citation impact, top 31% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

3 citing papers in PubMed, 1 synthesis or guideline pooled it, 3 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

2 authors.

Bin MengDepartment of Ultrasound Intervention, Zhejiang Rongjun Hospital, Jiaxing, Zhejiang, China (mainland).
Mingmin XuDepartment of Ultrasound Intervention, Zhejiang Rongjun Hospital, Jiaxing, Zhejiang, China (mainland).ORCID 0000-0001-5648-2406

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

BACKGROUND The aim of this study was to investigate the preparation method and effect of artificial pelvic fluid during the sclerotherapy of ovarian endometrioma cysts guided by ultrasound through an abdominal wall puncture. MATERIAL AND METHODS Under the guidance of ultrasound, a total of 70 cases of artificial pelvic isolation fluid were isolated during the sclerosis of ovarian endometrioma cysts through an abdominal wall puncture. The success rate, time required, intraoperative pain incidence, vagal reflex incidence, related complications, and efficacy of artificial pelvic isolation fluid were summarized and analyzed. RESULTS The results showed that the success rate of artificial pelvic isolation fluid was 100%, the average time of surgery was 9.1±1.3 min, the incidence of intraoperative pain was 5.71% (4/70), and the incidence of vagal reflex was 2.86% (2/70). No complications, such as bleeding, intestinal perforation, or infection, occurred. After 12 months of follow-up, the cure rate was 97.14% (68/70) and the effective rate was 100% (70/70). CONCLUSIONS We were first to use artificial pelvic isolation fluid technology to solve the problems of unclear cyst display, lack of safe puncture path, and severe pain during or after surgery in patients, and to exhibit a high level of intraoperative comfort for patients with a safe and effective clinical treatment.

Indexed as

CystsEndometriosisFemaleHumansPainSclerotherapyUltrasonography, Interventional

Identifiers

PMID36303417
PMCPMC9624109
OpenAlexW4304147522

What OpenQuestion holds

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LicenceCC BY-NC-ND
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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.